Study on CA-CFAR Algorithm Based on Normalization Processing of Background Noise for HI of Optical Fiber

• DOI: 10.1007/s13320-018-0498-5
• Publication Date: 2018-07-06T13:50:13Z
• Authors: Yanping Wang; Dandan Qu; Chao Zhao; Dan Yang
• Keywords: Normalization; False alarm

Abstract Optical fiber pre-warning system (OFPS) is often used to monitor the occurrence of disasters such as leakage oil and natural gas pipeline. It analyzes collected vibration signals judge whether there any harmful intrusion (HI) events. At present, research in this field mainly focused on constant false alarm rate (CFAR) methods derivative algorithms detect signals. However, performance CFAR limited actual distribution. found that background noise usually obeys non-independent identically distribution (Non-IID) through statistical analysis acquisition In view signal characteristics, paper presents a detection method based normalization processing for noise. A high-pass filter designed Non-IID data obtain characterization characteristic. Then, converted independent (IID) by using Next, after processed with efficient cell average (CA-CFAR) detection. Finally, results experiments both show can be effectively detected, effectiveness algorithm verified.